Analysis of distance metric variations in KNN for agarwood oil compounds differentiation

@article{Samad2017AnalysisOD,
  title={Analysis of distance metric variations in KNN for agarwood oil compounds differentiation},
  author={Muhamad Ezeywan Mohd Samad and Nurlaila Ismail and Mohd Hezri Fazalul Rahiman and Mohd Nasir Taib and Nor Azah Mohd Ali and Saiful Nizam Bin Tajuddin},
  journal={2017 IEEE Conference on Systems, Process and Control (ICSPC)},
  year={2017},
  pages={151-156}
}
This paper presents the analysis of distance metric variations in KNN for agarwood oil compounds differentiation. The work involved of the development of k-Nearest Neighbor (KNN) by varying the distance metrics. The input is abundances (%) of agarwood oil compounds and the output is agarwood oil quality either high or low. The data is divided into two parts… CONTINUE READING